Benvenuti nell'Anagrafe della Ricerca d'Ateneo
La valutazione delle attività di ricerca che si svolgono nelle università ha assunto un'importanza rilevante sia per l'intero sistema universitario sia all'interno di ogni singolo ateneo. Roma Tre si è quindi dotata di idonei strumenti informativi in grado di supportare al meglio le azioni di monitoraggio e di valutazione delle attività di ricerca svolte nei propri dipartimentied ha realizzato una Anagrafe della Ricerca di Ateneo.
EnglishGiven the always increasing size of computer systems, manually protecting them in case of attacks is infeasible and error-prone. For this reason, several Intrusion Response Systems (IRSs) have been proposed so far, with the purpose of limiting the amount of work of an administrator. However, since the most advanced IRSs adopt a stateful approach, they are subject to what Bellman defined as the curse of dimensionality. In this paper, we propose an approach based on deep reinforcement learning which, to the best of our knowledge, has never been used until now for intrusion response. Experimental results show that the proposed approach reduces the time needed for the computation of defense policies by orders of magnitude, while providing near-optimal rewards.
Iannucci, S., Barba, O.D., Cardellini, V., & Banicescu, I. (2019). A performance evaluation of deep reinforcement learning for model-based intrusion response. In Proceedings - 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems, FAS*W 2019 (pp.158-163). 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/FAS-W.2019.00047].
| Titolo: | A performance evaluation of deep reinforcement learning for model-based intrusion response | |
| Autori: | ||
| Data di pubblicazione: | 2019 | |
| Citazione: | Iannucci, S., Barba, O.D., Cardellini, V., & Banicescu, I. (2019). A performance evaluation of deep reinforcement learning for model-based intrusion response. In Proceedings - 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems, FAS*W 2019 (pp.158-163). 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/FAS-W.2019.00047]. | |
| Handle: | http://hdl.handle.net/11590/404584 | |
| ISBN: | 978-1-7281-2406-3 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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